How do code plagiarism detection systems work? Computer Science |
- How do code plagiarism detection systems work?
- [R] Fourier Feature Mapping Enables MLPs to Learn High-Frequency Functions in Low-Dimensional Domains
- 3SAT Novel Heuristic
- Difference between the formal verification in CompCert and Isabelle/HOL/Coq?
- Algorithm Analysis
| How do code plagiarism detection systems work? Posted: 24 Jun 2020 03:37 PM PDT Because they don't work for me. Just got a 80-85% similarity and got disqualified for my finals because my code was similar to the random person in class who I've never talked before my entire life. No internet copypaste as well. Just me and myself. No way he finds out my code, I typed in note pad pasted to the system. Edit: Code was 60lines long and only getter setter program structure extends and implements stuff with no working parts, like.... reserveSeat() {Sout("Seat reserved")} [link] [comments]  |
| Posted: 24 Jun 2020 11:49 AM PDT Google Research and University of California researchers however found that standard MLPs are poorly suited for low-dimensional coordinate-based vision and graphics tasks and have difficulty learning high-frequency functions. To overcome these issues, they have proposed the use of Fourier feature mapping with MLPs in order to learn high-frequency functions in low-dimensional problem domains. Here is a quick read: Fourier Feature Mapping Enables MLPs to Learn High-Frequency Functions in Low-Dimensional Domains The paper Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains is on arXiv. [link] [comments]  |
| Posted: 25 Jun 2020 02:35 AM PDT |
| Difference between the formal verification in CompCert and Isabelle/HOL/Coq? Posted: 25 Jun 2020 01:30 AM PDT I have only recently started to read into formal verification. Something I have difficulties to understand is what difference is it if you formally verify code using Coq or Isabelle - or if you compile your C code with CompCert? [link] [comments]  |
| Posted: 24 Jun 2020 12:21 PM PDT I took an advanced algorithms course a while ago, and I remember a problem about matrix multiplication. My instructor explained the idea of making an algorithm arbitrarily faster, asymptotically, but for small inputs, the algorithm gets worse and worse. He called this "the speed up problem". Where can I read more about this? If I recall correctly, by the master theorem, by altering the matrix multiplication algorithm, you can achieve slightly faster asymptotic speed; however, this speed approaches a lower bound and the algorithm becomes less practical for small inputs. [link] [comments]  |
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